Update main reference

README.md

@@ -41,7 +41,7 @@ tags:
 
 ### Dataset Summary
 This is the oficial repository for SuperTweetEval, a unified benchmark of 12 heterogeneous NLP tasks. 
-More details on the task and an evaluation of language models can be found on the reference paper.
+More details on the task and an evaluation of language models can be found on the [reference paper](https://arxiv.org/abs/2310.14757), published in EMNLP 2023 (Findings).
 
 
 ### Data Splits
@@ -167,10 +167,15 @@ In the following we present the information contained in each of the datasets.
 
 ### Main reference paper
 
-Please cite the [reference paper]() if you use this benchmark.
+Please cite the [reference paper](https://arxiv.org/abs/2310.14757) if you use this benchmark.
 
 ```bibtex
-TBA
+@inproceedings{antypas2023supertweeteval,
+  title={SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research},
+  author={Dimosthenis Antypas and Asahi Ushio and Francesco Barbieri and Leonardo Neves and Kiamehr Rezaee and Luis Espinosa-Anke and Jiaxin Pei and Jose Camacho-Collados},
+  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
+  year={2023}
+}
 ```
 
 ### References of individual datasets